Title :
Fast commercial detection based on audio retrieval
Author :
Zhao, Dan ; Wang, Xiangdon ; Qian, Yueliang ; Liu, Qun ; Lin, Shouxun
Author_Institution :
Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing
fDate :
June 23 2008-April 26 2008
Abstract :
Automatic detection of commercials in digital multimedia material is a challenging task with many applications. This paper presents a novel approach to fast commercial detection based on audio retrieval. It is based on the idea of segmenting energy envelope of audio into units, using only audio signal for matching on a commercial database. Fast searching and matching can be performed with high accuracy, by searching and by novel similarity function based on units. Experimental results show that 96.8% recall rate and 98.7% precision rate can be achieved under 0.125 real-time.
Keywords :
audio databases; audio signal processing; digital video broadcasting; information retrieval; audio retrieval; audio signal; automatic detection; commercial database; commercial detection; digital multimedia material; similarity function; Audio databases; Multimedia databases; TV commercial; audio; energy envelope;
Conference_Titel :
Multimedia and Expo, 2008 IEEE International Conference on
Conference_Location :
Hannover
Print_ISBN :
978-1-4244-2570-9
Electronic_ISBN :
978-1-4244-2571-6
DOI :
10.1109/ICME.2008.4607652
